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Traditional development agencies are walking dead, they just don't know it yet Typical agency burns 70% of revenue on salaries for work that's repetitive and replaceable Kimi K2.6 lets one person run a 300-agent swarm for $500/mo and scale to $80k/mo Not a chatbot a fully autonomous execution layer... show more

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17,551 views • 3 months ago •via X (Twitter)

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Kimi CEO Zhilin Yang: "The biggest mistake in agent systems - people trying to build one smarter agent we didn't make one smarter - Kimi made a thousand: one brain, a thousand hands" here's how: step 1 → stop polishing one agent, split the task and run many in parallel - that's the real ceiling-break step 2 → give each agent a long context so it can run for days, not seconds - long context is what lets an agent run long step 3 → give each agent a strong prior, so agent-RL can search for a good solution instead of starting from zero step 4 → don't just add more data - make each token count. they hit the data wall, so they made every token 2x smarter step 5 → don't scale one brain, scale the swarm - many agents working in parallel beat one agent thinking harder he just dropped Kimi K3 - and this 40-min workflow is the best on how to actually use it watch & bookmark - then read the article on saving on agents ↓

Kimi CEO Zhilin Yang: "The biggest mistake in agent systems - people trying to build one smarter agent we didn't make one smarter - Kimi made a thousand: one brain, a thousand hands" here's how: step 1 → stop polishing one agent, split the task and run many in parallel - that's the real ceiling-break step 2 → give each agent a long context so it can run for days, not seconds - long context is what lets an agent run long step 3 → give each agent a strong prior, so agent-RL can search for a good solution instead of starting from zero step 4 → don't just add more data - make each token count. they hit the data wall, so they made every token 2x smarter step 5 → don't scale one brain, scale the swarm - many agents working in parallel beat one agent thinking harder he just dropped Kimi K3 - and this 40-min workflow is the best on how to actually use it watch & bookmark - then read the article on saving on agents ↓

codila

61,260 views • 2 months ago

12-person agency and a solo guy both quoted $40k for the same project. BOTH GOT HIRED one made $39,700 profit. the other made $8,000 he runs Kimi K2.6 - 300 parallel sub-agents, $0.60 per million tokens project delivered in 4 days. agency delivered in 6 weeks clients don't see a team. he doesn't have one entire agency playbook - PM, devs, designer, QA, copywriter - all replaced by a prompt $80k last month, $220 in API costs 14-person shop down the street is paying those same $80k back out in salaries Bookmark it and use for your works agencies weren't charging for skill they were charging for people who had to show up that model just broke

12-person agency and a solo guy both quoted $40k for the same project. BOTH GOT HIRED one made $39,700 profit. the other made $8,000 he runs Kimi K2.6 - 300 parallel sub-agents, $0.60 per million tokens project delivered in 4 days. agency delivered in 6 weeks clients don't see a team. he doesn't have one entire agency playbook - PM, devs, designer, QA, copywriter - all replaced by a prompt $80k last month, $220 in API costs 14-person shop down the street is paying those same $80k back out in salaries Bookmark it and use for your works agencies weren't charging for skill they were charging for people who had to show up that model just broke

Livsun

13,986 views • 4 months ago

A GERMAN DEVELOPER REPLACED HIS ENTIRE DEV TEAM WITH KIMI K2.6, VISUALIZED EVERYTHING IN OBSIDIAN AND NOW MAKES $80,000/MONTH SOLO 1 trillion parameters, 32 billion activated per token and a SWE-Bench score of 65.8 - Kimi K2.6 reads the entire client codebase, understands the architecture, writes production code and ships for $150-300 in API costs while a traditional agency pays developers $4,800 for the exact same project. 300 parallel agents per run deliver 100+ files simultaneously - search, analysis, coding and writing all in parallel - and Obsidian visualizes the entire knowledge graph in real time while the agents work. A traditional agency with 10-15 people keeps 30% margin after salaries. He keeps 90% - $72,000 in monthly profit with $500 in overhead. By month 10 Kimi handles 80% of the technical work and he manages only strategy and client relationships - while Obsidian maps every project, every client and every agent in one graph that updates itself.

A GERMAN DEVELOPER REPLACED HIS ENTIRE DEV TEAM WITH KIMI K2.6, VISUALIZED EVERYTHING IN OBSIDIAN AND NOW MAKES $80,000/MONTH SOLO 1 trillion parameters, 32 billion activated per token and a SWE-Bench score of 65.8 - Kimi K2.6 reads the entire client codebase, understands the architecture, writes production code and ships for $150-300 in API costs while a traditional agency pays developers $4,800 for the exact same project. 300 parallel agents per run deliver 100+ files simultaneously - search, analysis, coding and writing all in parallel - and Obsidian visualizes the entire knowledge graph in real time while the agents work. A traditional agency with 10-15 people keeps 30% margin after salaries. He keeps 90% - $72,000 in monthly profit with $500 in overhead. By month 10 Kimi handles 80% of the technical work and he manages only strategy and client relationships - while Obsidian maps every project, every client and every agent in one graph that updates itself.

Noisy

850,233 views • 4 months ago

Anthropic's in trouble, again. The entire Claude experience is now available at 1/6th the price. Kimi now does everything Claude does, powered by K2.6, a 1-trillion-parameter MoE model that activates only 32B parameters per token. It covers all three features Claude has (Chat, Code, and Cowork): 1) Kimi Chat runs in four modes - Instant for fast responses - Thinking for deep reasoning - Agent for multi-step execution - and Agent Swarm for parallel workloads. There's a 262K context window across all of them. 2) Kimi Code is the open-source CLI coding agent with K2.6 as the default backend. K2.6 ranked #1 on OpenRouter's programming leaderboard by weekly usage. 3) Kimi Agent is the Cowork equivalent. It generates: - full websites with database and auth - presentation decks (editable PPTX output) - spreadsheets with formulas and charts - word docs and structured research reports. On top of this, Kimi K2.6 is also trained to decompose tasks into up to 300 parallel sub-agents. This helps it retain coherence even across 4,000+ tool calls in a single run, with sessions sustaining up to 13 hours. On SWE-Bench Pro: - Kimi K2.6 → 58.6 - GPT-5.4 xhigh → 57.7 - Gemini 3.1 Pro → 54.2 - Claude Opus 4.6 → 53.4 Kimi K2.6 model is open weights and self-hostable on 4x H100s in INT4. Find the link to the HuggingFace model page in the replies!

Anthropic's in trouble, again. The entire Claude experience is now available at 1/6th the price. Kimi now does everything Claude does, powered by K2.6, a 1-trillion-parameter MoE model that activates only 32B parameters per token. It covers all three features Claude has (Chat, Code, and Cowork): 1) Kimi Chat runs in four modes - Instant for fast responses - Thinking for deep reasoning - Agent for multi-step execution - and Agent Swarm for parallel workloads. There's a 262K context window across all of them. 2) Kimi Code is the open-source CLI coding agent with K2.6 as the default backend. K2.6 ranked #1 on OpenRouter's programming leaderboard by weekly usage. 3) Kimi Agent is the Cowork equivalent. It generates: - full websites with database and auth - presentation decks (editable PPTX output) - spreadsheets with formulas and charts - word docs and structured research reports. On top of this, Kimi K2.6 is also trained to decompose tasks into up to 300 parallel sub-agents. This helps it retain coherence even across 4,000+ tool calls in a single run, with sessions sustaining up to 13 hours. On SWE-Bench Pro: - Kimi K2.6 → 58.6 - GPT-5.4 xhigh → 57.7 - Gemini 3.1 Pro → 54.2 - Claude Opus 4.6 → 53.4 Kimi K2.6 model is open weights and self-hostable on 4x H100s in INT4. Find the link to the HuggingFace model page in the replies!

Avi Chawla

110,057 views • 4 months ago

🎬 The future of AI Agents is no longer fragmented. It’s unified. UBOX introduces a new paradigm — where Agents are no longer isolated tools, but verifiable, coordinated, and economically empowered on-chain actors ⚙️ With: 🔹 KYA (Know Your Agent) for identity & reputation 🔹 Agent Swarm for autonomous coordination 🔹 On-chain execution & real economic value 🔹 One-click deployment via UBOX Container We’re building the infrastructure layer for the autonomous agent economy 🌐 💲Backed by C² Ventures, HTX Ventures, and other leading investors with $7M in funding, accelerating the future of the autonomous agent economy. 🔗 #AI #Web3 #AgentEconomy #Crypto

🎬 The future of AI Agents is no longer fragmented. It’s unified. UBOX introduces a new paradigm — where Agents are no longer isolated tools, but verifiable, coordinated, and economically empowered on-chain actors ⚙️ With: 🔹 KYA (Know Your Agent) for identity & reputation 🔹 Agent Swarm for autonomous coordination 🔹 On-chain execution & real economic value 🔹 One-click deployment via UBOX Container We’re building the infrastructure layer for the autonomous agent economy 🌐 💲Backed by C² Ventures, HTX Ventures, and other leading investors with $7M in funding, accelerating the future of the autonomous agent economy. 🔗 #AI #Web3 #AgentEconomy #Crypto

UBOX

28,987 views • 5 months ago

KIMI K2.6 JUST CRUSHED GPT-5 AND A SINGLE PERSON CAN NOW POTENTIALLY BUILD AN $80K/MONTH BUSINESS WITH 300 AI AGENTS AND JUST $500 IN OVERHEAD The video attached is proof that almost everyone missed Kimi K2 Thinking didn’t just score 44.9% on Humanity’s Last Exam, it outperformed GPT-5 (41.7%), Claude, and every other major model across multiple benchmarks It’s open source Over a trillion parameters, trained for just $4.6M Runs locally on a Mac Studio and in the demo, it turns a 100-page PDF into a fully designed PowerPoint presentation in under two minutes while other models are still thinking In the article below, the author lays out a clear blueprint for turning this into a real business: > 300 parallel sub-agents running up to 4000 steps per execution - research, coding, analysis and visual creation all happen simultaneously > 65.8% on SWE-Bench solving real GitHub engineering tasks end-to-end with little to no human intervention > Skill injection through simple .md files - instant vertical specialization (HIPAA compliance, financial regulations, Shopify workflows and more) > Automated client acquisition: monitor job listings for “Data Analyst” or “Automation Engineer” roles and pitch an AI solution before companies even start hiring The math is simple: A $10k project Traditional agency → salaries, office costs, QA, project management and overhead eat most of the profit AI agency powered by Kimi → roughly $500 in operating costs plus one operator managing client relationships = the potential for 72k$+ monthly profit at scale Read the article Save this post Start building AI-native agencies while everyone else is still doing things the old way

KIMI K2.6 JUST CRUSHED GPT-5 AND A SINGLE PERSON CAN NOW POTENTIALLY BUILD AN $80K/MONTH BUSINESS WITH 300 AI AGENTS AND JUST $500 IN OVERHEAD The video attached is proof that almost everyone missed Kimi K2 Thinking didn’t just score 44.9% on Humanity’s Last Exam, it outperformed GPT-5 (41.7%), Claude, and every other major model across multiple benchmarks It’s open source Over a trillion parameters, trained for just $4.6M Runs locally on a Mac Studio and in the demo, it turns a 100-page PDF into a fully designed PowerPoint presentation in under two minutes while other models are still thinking In the article below, the author lays out a clear blueprint for turning this into a real business: > 300 parallel sub-agents running up to 4000 steps per execution - research, coding, analysis and visual creation all happen simultaneously > 65.8% on SWE-Bench solving real GitHub engineering tasks end-to-end with little to no human intervention > Skill injection through simple .md files - instant vertical specialization (HIPAA compliance, financial regulations, Shopify workflows and more) > Automated client acquisition: monitor job listings for “Data Analyst” or “Automation Engineer” roles and pitch an AI solution before companies even start hiring The math is simple: A $10k project Traditional agency → salaries, office costs, QA, project management and overhead eat most of the profit AI agency powered by Kimi → roughly $500 in operating costs plus one operator managing client relationships = the potential for 72k$+ monthly profit at scale Read the article Save this post Start building AI-native agencies while everyone else is still doing things the old way

Bonsai 🌳

21,487 views • 3 months ago

These are the killer bee guys! They say that everything is Africanized honey bees and work out of the Southwest. I don't know if that's what they are or not but it sure is fun watching them sitting inside of a swarm every time. They sure do go through a lot of spray foam. 🐝😳🤯

These are the killer bee guys! They say that everything is Africanized honey bees and work out of the Southwest. I don't know if that's what they are or not but it sure is fun watching them sitting inside of a swarm every time. They sure do go through a lot of spray foam. 🐝😳🤯

Johnny B. Good

198,312 views • 3 months ago

$THIS GUY USED OPUS 4.8 + KIMI K2.6 TO CUT HIS CODING BILL FROM $4,000 TO $700/MO. WITH KIMI RUNNING A 300-AGENT CODING FLOOR, HE STOPPED PAYING CLAUDE TO DO EVERYTHING kimi does the cheap heavy lifting. it can spin up hundreds of agents, push through thousands of steps, write the rough code, expand files, draft tests and handle the repetitive work that burns the most tokens opus 4.8 only comes in where the money is worth spending. first to plan the spec and define the rules, then again to tear apart the output, catch weak logic and flag the bugs that a fast swarm can miss that is what changed the economics. kimi handled the bulk of the volume for a fraction of the price, while opus stayed in the loop as the architect and the reviewer instead of the full-time builder most people still use one model for every step and wonder why their costs explode. this guy split the jobs properly. kimi runs wide and cheap. opus goes deep and skeptical. one builds fast, the other makes sure it should ship the real edge is not finding one perfect model. it is knowing where expensive intelligence actually matters and where cheap parallel output is already enough. that is how a $4,000 workflow turns into a $700 system$

THIS GUY USED OPUS 4.8 + KIMI K2.6 TO CUT HIS CODING BILL FROM $4,000 TO $700/MO. WITH KIMI RUNNING A 300-AGENT CODING FLOOR, HE STOPPED PAYING CLAUDE TO DO EVERYTHING kimi does the cheap heavy lifting. it can spin up hundreds of agents, push through thousands of steps, write the rough code, expand files, draft tests and handle the repetitive work that burns the most tokens opus 4.8 only comes in where the money is worth spending. first to plan the spec and define the rules, then again to tear apart the output, catch weak logic and flag the bugs that a fast swarm can miss that is what changed the economics. kimi handled the bulk of the volume for a fraction of the price, while opus stayed in the loop as the architect and the reviewer instead of the full-time builder most people still use one model for every step and wonder why their costs explode. this guy split the jobs properly. kimi runs wide and cheap. opus goes deep and skeptical. one builds fast, the other makes sure it should ship the real edge is not finding one perfect model. it is knowing where expensive intelligence actually matters and where cheap parallel output is already enough. that is how a $4,000 workflow turns into a $700 system

Gipp 🦅

16,989 views • 3 months ago

Introducing Agent 2.0 Go from a simple prompt to fully realized marketing briefs and campaign assets right inside of Runway Agent. You can also easily analyze your performance data to improve your creative and scale it across platforms, formats and markets. Agent is being built to become the most capable autonomous agent for real-world work.

Introducing Agent 2.0 Go from a simple prompt to fully realized marketing briefs and campaign assets right inside of Runway Agent. You can also easily analyze your performance data to improve your creative and scale it across platforms, formats and markets. Agent is being built to become the most capable autonomous agent for real-world work.

Runway

954,589 views • 3 months ago

Harbaugh: They also want Americans to know that Ukrainians are fighting for their whole country — for Mariupol, for Crimea, for Donbas. They're fighting for all of it. And even though those areas don't often make the news, it's Ukraine. There's this fear that a "peace" will be imposed that surrenders these parts of their country. And for those people living there, that's not a peace at all. That is, for many of them, a death sentence. They want us to know that Ukraine is all of Ukraine, not just the parts of it that Russia hasn't taken yet. And they will not accept a peace deal that surrenders part of not just their territory, but their families, their kids.

Harbaugh: They also want Americans to know that Ukrainians are fighting for their whole country — for Mariupol, for Crimea, for Donbas. They're fighting for all of it. And even though those areas don't often make the news, it's Ukraine. There's this fear that a "peace" will be imposed that surrenders these parts of their country. And for those people living there, that's not a peace at all. That is, for many of them, a death sentence. They want us to know that Ukraine is all of Ukraine, not just the parts of it that Russia hasn't taken yet. And they will not accept a peace deal that surrenders part of not just their territory, but their families, their kids.

MeidasClips

19,344 views • 3 months ago

Kimi has a feature 90% of users have never opened it's called Agent Swarm you write one project brief, Kimi spins up to 300 domain-specialized agents, and delivers real files as output > 100 job descriptions -> 100 tailored CVs, one prompt > 40 academic papers -> 100k-word literature review with citations in 1 prompt > 30 businesses without websites -> 30 landing pages, one prompt a content agency charges $15k-$20k for that last task, but Agent Swarm does it for $0 extra on your subscription this is the feature Kimi built that nobody talks about full breakdown + 15 rules for running it in the article below

Kimi has a feature 90% of users have never opened it's called Agent Swarm you write one project brief, Kimi spins up to 300 domain-specialized agents, and delivers real files as output > 100 job descriptions -> 100 tailored CVs, one prompt > 40 academic papers -> 100k-word literature review with citations in 1 prompt > 30 businesses without websites -> 30 landing pages, one prompt a content agency charges $15k-$20k for that last task, but Agent Swarm does it for $0 extra on your subscription this is the feature Kimi built that nobody talks about full breakdown + 15 rules for running it in the article below

Chrome

16,660 views • 4 months ago

SpaceXAI engineer, Lauren Tan: "99% of people using GrokBot just for 1% of its real power. They run 1 agent without "loop" & "graph" I'm running a team of 20+ GrokBot agents, fully autonomous. I have a Chief of Staff agent, a PM agent and 20+ workers - that's the new stack of engineer" In a 1-hour session, a SpaceXAI engineer showed how to build a team of effective AI agents from scratch this is worth more than a $500 agentic engineering course watch this workshop today, then read how to build a fleet of GrokBot agents in the article below

SpaceXAI engineer, Lauren Tan: "99% of people using GrokBot just for 1% of its real power. They run 1 agent without "loop" & "graph" I'm running a team of 20+ GrokBot agents, fully autonomous. I have a Chief of Staff agent, a PM agent and 20+ workers - that's the new stack of engineer" In a 1-hour session, a SpaceXAI engineer showed how to build a team of effective AI agents from scratch this is worth more than a $500 agentic engineering course watch this workshop today, then read how to build a fleet of GrokBot agents in the article below

0xRafy

47,726 views • 21 days ago

SpaceXAI engineer, Lauren Tan: "99% of people using GrokBot just for 1% of its real power. They run 1 agent without "loop" & "graph" I'm running a team of 20+ GrokBot agents, fully autonomous. I have a Chief of Staff agent, a PM agent and 20+ workers - that's the new stack of engineer" In a 1-hour session, a SpaceXAI engineer showed how to build a team of effective AI agents from scratch this is worth more than a $500 agentic engineering course watch this workshop today, then read how to build a fleet of GrokBot agents in the article below

SpaceXAI engineer, Lauren Tan: "99% of people using GrokBot just for 1% of its real power. They run 1 agent without "loop" & "graph" I'm running a team of 20+ GrokBot agents, fully autonomous. I have a Chief of Staff agent, a PM agent and 20+ workers - that's the new stack of engineer" In a 1-hour session, a SpaceXAI engineer showed how to build a team of effective AI agents from scratch this is worth more than a $500 agentic engineering course watch this workshop today, then read how to build a fleet of GrokBot agents in the article below

Codez

636,753 views • 22 days ago

For most of history, expertise was scarce, constrained by time and reach: one person, one career, one lifetime. Now, for the first time, we can encode, evaluate, and scale it. We believe the wisdom that once took a lifetime to build shouldn’t take a lifetime to find. Today, we’re excited to announce that AfterQuery has raised a $30M Series A at a $300M valuation and that we’ve since surpassed $100M in annual revenue run rate, to build the data layer of professional AI.

For most of history, expertise was scarce, constrained by time and reach: one person, one career, one lifetime. Now, for the first time, we can encode, evaluate, and scale it. We believe the wisdom that once took a lifetime to build shouldn’t take a lifetime to find. Today, we’re excited to announce that AfterQuery has raised a $30M Series A at a $300M valuation and that we’ve since surpassed $100M in annual revenue run rate, to build the data layer of professional AI.

Spencer Mateega

275,533 views • 5 months ago

A 21-YEAR-OLD FROM CHINA RUNS 300 AI AGENTS AT ONCE. THE PART THAT MATTERS ISN'T THE SPEED, IT'S THAT NONE OF THEM CAN LIE TO HIM he opens the dashboard and shows the swarm live, 300 Kimi K2.6 agents firing in parallel, then Opus 4.8 checking every single output against its source. this is not just a faster swarm. it is a loop that refuses to stop while anything is still wrong he pointed it at 100 EV-market companies. first pass: 12 failed. wrong revenue, dead citations, empty fields. second pass: 3 failed. third pass: zero this is not another agent demo. it is a system that catches its own mistakes before he reads a single row

A 21-YEAR-OLD FROM CHINA RUNS 300 AI AGENTS AT ONCE. THE PART THAT MATTERS ISN'T THE SPEED, IT'S THAT NONE OF THEM CAN LIE TO HIM he opens the dashboard and shows the swarm live, 300 Kimi K2.6 agents firing in parallel, then Opus 4.8 checking every single output against its source. this is not just a faster swarm. it is a loop that refuses to stop while anything is still wrong he pointed it at 100 EV-market companies. first pass: 12 failed. wrong revenue, dead citations, empty fields. second pass: 3 failed. third pass: zero this is not another agent demo. it is a system that catches its own mistakes before he reads a single row

NO1ennn

6,955,189 views • 3 months ago

xQc reveals he spent $80k on lawyers in his divorce trial "TLDR, don't get married unless u want a traditional marriage..the modern world isn't fit for traditional marriage..99% of u guys don't want that bc u don't know what it is" "I chose not to be married and the courts found that I was not married..and they said thank u..u win..3-0! I literally had the final boss of lawyers, it was $80k..technically my case is still open..on paper..going to trial in 2027"

xQc reveals he spent $80k on lawyers in his divorce trial "TLDR, don't get married unless u want a traditional marriage..the modern world isn't fit for traditional marriage..99% of u guys don't want that bc u don't know what it is" "I chose not to be married and the courts found that I was not married..and they said thank u..u win..3-0! I literally had the final boss of lawyers, it was $80k..technically my case is still open..on paper..going to trial in 2027"

yeet

80,134 views • 3 months ago

Satya Nadella says building gigawatt scale data centers for just one AI customer or a single chip generation is a massive trap. He Breakdown We didn't want to just be a hoster for one company and have just a massive book of business with one customer. That's not a business, you should be vertically integrated with that company. I didn't want to get stuck with massive scale of one generation. I don't want to just go build out a whole number of gigawatts that are only for a one generation, one family. So I think the pacing matters, the fungibility and the location matters, the workload diversity matters, customer diversity matters and that's what we’re building towards. we're not in the business of just doing five contracts with five customers being their bare metal service. That's not a Microsoft business.

Satya Nadella says building gigawatt scale data centers for just one AI customer or a single chip generation is a massive trap. He Breakdown We didn't want to just be a hoster for one company and have just a massive book of business with one customer. That's not a business, you should be vertically integrated with that company. I didn't want to get stuck with massive scale of one generation. I don't want to just go build out a whole number of gigawatts that are only for a one generation, one family. So I think the pacing matters, the fungibility and the location matters, the workload diversity matters, customer diversity matters and that's what we’re building towards. we're not in the business of just doing five contracts with five customers being their bare metal service. That's not a Microsoft business.

Vikram M

45,440 views • 1 month ago

Crypto isn't about the shitty coin you bought. That's the mistake many people make… lose money on a token, decide the whole thing is a scam, and walk away angry. All while the story keeps playing out around them. Blockchain is the coordination layer for the digital economy. It's how AI agents make payments at machine speed. It's how identity, privacy, and value move across the internet when humans aren't the primary users anymore. AI and blockchain are married at the hip. Every agent, autonomous transaction, piece of the machine economy that's arriving now needs a programmable layer to run on. That's what the layer 1s actually are. Own a piece of it, and you own a piece of the agent economy.

Crypto isn't about the shitty coin you bought. That's the mistake many people make… lose money on a token, decide the whole thing is a scam, and walk away angry. All while the story keeps playing out around them. Blockchain is the coordination layer for the digital economy. It's how AI agents make payments at machine speed. It's how identity, privacy, and value move across the internet when humans aren't the primary users anymore. AI and blockchain are married at the hip. Every agent, autonomous transaction, piece of the machine economy that's arriving now needs a programmable layer to run on. That's what the layer 1s actually are. Own a piece of it, and you own a piece of the agent economy.

Raoul Pal

111,275 views • 1 month ago

BlackRock runs on 20,000 people. Elon's Grok Bot runs the same shape for $300 a month, and it hires its own staff. You do not get an assistant. You get a company that hires. It does not throw ten agents at your problem and hand you the pile. It makes one agent that makes 10, and those ten make a 100. > LAYER ONE is one agent, the chief of staff, and it never touches the market > LAYER TWO is six desk heads, one job each, every one on its own computer with its own logins > LAYER THREE is whatever those six decide they need, spun up on the spot and shut down when the work is done Nobody writes a task list. You hand out job titles and the org fills itself in underneath. The swarm is never the same twice. Agents get spun up for one job, finish it, and are gone before I ever read their names. Not one of them sees the whole picture. The answer only exists after they hand off to each other. Wall Street cannot copy that. You cannot hire a hundred people for eleven minutes. BlackRock holds that shape together with a risk system called Aladdin. Mine holds it together with one agent that is only allowed to say no. I gave it $1,000 and told it to grow the money or get deleted. 15 hours later it was holding $3,900, on an address anyone can open and read. I was asleep for most of it, and I have still not written a line of code. The whole thing runs with my laptop shut, because none of it lives on my laptop. Setup is one evening. Create the chief, hand out the titles, run one trade on your screen while they watch, connect Telegram. Ten years ago a machine this shape had its name on a tower. Mine has a name I typed into a box. Save this while the whole thing still fits on one screen.

BlackRock runs on 20,000 people. Elon's Grok Bot runs the same shape for $300 a month, and it hires its own staff. You do not get an assistant. You get a company that hires. It does not throw ten agents at your problem and hand you the pile. It makes one agent that makes 10, and those ten make a 100. > LAYER ONE is one agent, the chief of staff, and it never touches the market > LAYER TWO is six desk heads, one job each, every one on its own computer with its own logins > LAYER THREE is whatever those six decide they need, spun up on the spot and shut down when the work is done Nobody writes a task list. You hand out job titles and the org fills itself in underneath. The swarm is never the same twice. Agents get spun up for one job, finish it, and are gone before I ever read their names. Not one of them sees the whole picture. The answer only exists after they hand off to each other. Wall Street cannot copy that. You cannot hire a hundred people for eleven minutes. BlackRock holds that shape together with a risk system called Aladdin. Mine holds it together with one agent that is only allowed to say no. I gave it $1,000 and told it to grow the money or get deleted. 15 hours later it was holding $3,900, on an address anyone can open and read. I was asleep for most of it, and I have still not written a line of code. The whole thing runs with my laptop shut, because none of it lives on my laptop. Setup is one evening. Create the chief, hand out the titles, run one trade on your screen while they watch, connect Telegram. Ten years ago a machine this shape had its name on a tower. Mine has a name I typed into a box. Save this while the whole thing still fits on one screen.

cvxv666

45,488 views • 24 days ago